Data Engineering
Data Engineering
Design & Implentation of ETL pipelines & processes
Efficient code for high volume datasets
Assessment of needs against Machine Learning options, including deep learning and neural networks
Documentation of options for ML models based on efficiency, accuracy and other requirements
Implementation of Categorisation, Regression & Clustering algorithms
Visualisation & reporting of data, including trends analysis
Presentation to stakeholders at all levels of leadership, including executive & board members
Azure Data Factory, Data Lake, Machine Learning
GCP BigQuery, DataFlow, DataFusion
SQL, NoSQL
Python, SAS, R
Tensorflow
Jupyter